School Administrator

Why should tutors personalize their tutoring sessions?

The most effective sessions are personalized to meet an individual student’s needs. Student productivity and growth will increase if the tutor can identify the missing or incomplete skills that are holding a student back and focus on those specific skills. Identifying and addressing these skill gaps requires tutors to use both quantitative and qualitative data to shape the content they include and the approach they use during sessions.

What is a Landscape Analysis?

A Landscape Analysis outlines the strengths, resources, and needs of a particular community. It provides a framework for designing a service and ensuring that it is embedded directly in the needs of the community.

Tutoring Curriculum Overview 

While tutoring programs vary greatly in the content that is focused on during sessions, tutors should have a standards-aligned, rigorous, and grade-level appropriate curriculum to use during sessions. Having an established curriculum for tutors to follow ensures that tutors’ planning time is spent optimizing implementation and building deep content knowledge, not creating tutoring session plans.

Overview

Below, you will find two protocols for reviewing student academic data, one for a frequent post-session review and one for any data collected on an interim or infrequent basis. These protocols follow the same What/So What/Now What format as the Standard Data Review Protocol, but they are tailored with tutor-specific questions to guide data analysis.

Why should you establish a standardized process for Data Review? 

Standardizing a Data Review process helps set a clear expectation that the end product of Data Review is not knowledge, but action. Any Data Review Protocol should ensure that raw data is converted into a clear and digestible format before the reflection process so that reviewers can focus their energies on reflecting on the data, rather than synthesizing the data.

What do we mean by Data Review? 

Data Review is the process of collecting data, reflecting on it, and distilling it into actionable insights. This process is how you can turn data into knowledge and knowledge into action. Data Review requires going "below the surface" to find root causes for your results (both positive and negative) and planning actionable changes to continue improving your program.

Click Here to go to the Accelerator-Designed Tutoring Survey Instruments

What is a Performance Measurement Plan?  

A Performance Management Plan outlines how to assess a program’s progress towards making the desired Impact defined in its Logic Model, complete with key benchmarks to hit by specific dates. It is a reusable, consistent roadmap for finding rigorous answers to questions like “Are we on track?” or “What are we doing well?” or “How can we improve?”